Young Children's Understanding of the Successor Function

Total Page:16

File Type:pdf, Size:1020Kb

Young Children's Understanding of the Successor Function Young Children’s Understanding of the Successor Function Jennifer A. Kaminski ([email protected]) Department of Mathematics and Statistics, Wright State University Dayton, OH 45435 USA Abstract for numbers larger than one. Then children become “two- knowers”, correctly responding to requests for one or two This study examined 4-year-old children’s understanding of the successor function, the concept that for every positive items, but incorrectly for larger numbers. Subsequently, integer there is a unique next integer. Children were tested in they become “three-knowers” and possibly later “four- the context of cardinal numbers and ordinal numbers. The knower”. After several months as a “subset-knower” (for results suggest that knowledge of the successor for cardinal collections less than five), a child typically reaches a stage numbers precedes that for ordinal numbers. In addition, for where they can respond correctly to a request for any both cardinal and ordinal numbers, children generally failed number of items (i.e. cardinal-principle knower). to demonstrate understanding that the successor of a given number is unique. Some researchers have suggested that children transition from subset knowers to cardinal-principle knowers through Keywords: Counting; Natural Numbers; Cardinal Number; a bootstrapping process (Carey, 2004). Children who have Ordinal Number; Successor Function. knowledge of cardinality for collections of one, two, and three items extend this knowledge to larger collections of Introduction items by the inductive inference “If the number N represents A large amount of research has examined children’s the cardinality of a set of N items, then the next number in understanding of natural numbers (i.e. positive integers) and the count list, N+1, represents the cardinality of a set of N counting (e.g. Baroody, 1987; Fuson, 1988; Gelman & +1 items. Sarnecka and Carey (2008) describe this notion Gallistel, 1978; Piaget, 1952; Schaeffer, Eggleston, & Scott, of a “next number” representing cardinality of a set one unit 1974; Wynn, 1990, 1992). One interesting phenomenon that larger than currently under consideration as knowledge of has been observed is that children aged two to three years the mathematical concept of successor. They suggest that may appear at first glance to know how to count; they may cardinal-principle knowers have implicit knowledge of the correctly recite the count list (“one, two, three, four, …”) successor function that enables them to make the induction and even point to items in a collection and tag them with a from knowledge of cardinalities of small sets (e.g. less than number (e.g. Briars & Siegler, 1984; Fuson, 1988). four) to cardinalities of larger sets. They support their However, when asked “how many” items are in a collection argument by demonstrating that cardinal-principle knowers, they just “counted”, these children often do not know and not subset-knowers, recognize (1) that adding one item (Schaeffer, Eggleston, & Scott, 1974; Wynn, 1990, 1992). and not subtracting one item to a set of cardinality five Moreover, many children who can correctly answer the produces a set of cardinality six and (2) that adding one item “how many” question are unable to produce a collection of to a set of cardinality four results in five while adding two objects of a specific cardinality (Le Corre & Carey, 2007; items results in six. Wynn, 1992). For example, an experimenter might ask a While it is clear from these results that children who child to “give three toys to a puppet” and the child would understand the cardinality principle, as evidence by accurate give an incorrect number. Failure on these basic tasks performance on “Give-N” tasks, perform better on other suggests that young children (typically those under four numerical tasks than children who don’t understand the years of age) do not understand fundamental aspects of cardinality principle, these results do not necessarily imply natural numbers, including the Cardinality Principle. (see that cardinal-principle knowers have knowledge of the Gelman and Gallistel, 1978 for principles of counting) This successor function. The interpretation of successor that principle states that when counting a collection of items, the Sarnecka and Carey (2008) employ is essentially a notion of number associated with the final item counted represents the “there is a next”. This interpretation is inconsistent with a cardinality of the collection of items (i.e. the number of formal mathematical definition of successor function, and items). more importantly it is insufficient to generate the natural Accurate performance on such “Give-N” tasks has been numbers and hence explain the acquisition of the natural taken as evidence that children have knowledge of the numbers. As Lance, Asmuth, and Bloomfield (2005) point cardinality principle (Le Corre & Carey, 2007; Wynn, out, the simple notion that there is a “next” number can 1992). This knowledge emerges in a series of stages. First describe sets other than the natural numbers. For example, children respond by giving an arbitrary or an idiosyncratic the set of integers with addition modulo 12 (i.e. equivalent number of items (e.g. always a handful or always one). By to telling time on a standard clock face) has a successor age 2 ½ to 3 years, children typically respond correctly function; the successor of one is two, the successor of two is when asked to give one item, but give an incorrect number 1045 three, etc. However, unlike the natural numbers, the Mathematically, uniqueness can be proven by successor of twelve is one. demonstrating that for two natural numbers, a and b, if the The problem with the Sarnecka and Carey interpretation successor of a = the successor of b, then a = b. Knowledge is that they omitted two necessary characteristics of the of a unique successor can be tested in an analogous way by successor function. First, that the number one is not the stating a number and asking the participant what number successor of any number (if we do not include zero in the immediately precedes it. Two testing contexts were created, set of natural numbers). Second, the successor of a number one cardinal and one ordinal. Participants were tested on is unique. For example, the successor of two is only three; their ability to state a next number when given a number and three is the successor only of two. Specifically, the (i.e. successor). These questions are denoted as +1 natural numbers can be defined by the Dedekind/ Peano’s questions in the Method section. Participants were also Axioms that state the following (Dedekind, 1901). tested on their ability to state a preceding number when 1. One is a natural number. given a number (i.e. uniqueness of the successor). These 2. Every natural number has a successor that is a natural questions are denoted as -1 questions in the Method section. number. The cardinal context involved collections of circular disks 3. One is not the successor of any natural number. that were placed under a cup. Participants needed to state 4. Two natural numbers for which the successors are how many disks were under the cup when a disk was added equal are themselves equal (i.e. the successor of any or removed. The ordinal context involved a simple board natural number is unique). game in which participants were asked the number 5. If a set, S, of natural numbers contains one and for associated with locations before or after the location of a every k in S, the successor of k is also in S, then every game pawn (see Figure 1). natural number is in S. These axioms provide necessary and sufficient criteria to Experiment generate the set of natural numbers and therefore knowledge of these axioms could explain the acquisition of natural Method numbers. Participants Participants were 35 preschool children (21 The interpretation of successor used in the Sarnecka and girls, 14 boys, M = 3.86 years, SD = 0.15) recruited from Carey (2008) study does not demonstrate uniqueness of the preschools and childcare centers in the Columbus, Ohio area. successor function. Specifically, demonstrating that a child Materials and Design Participants were given a series of recognizes five as the cardinality of a set that contained four different tasks, How-Many task, Give-N task, Cup task, and and then another item was added, does not imply that the Game task. child knows that cardinality of five cannot be achieved by How-Many task. This task consisted of six questions and adding one to another set size. In our everyday lives, as involved black circular chips approximately 1 inch in adults we take this implication for granted, but we cannot diameter. For each question, the experimenter placed a assume that children do. Therefore demonstrating that collection of chips on a plastic plate approximately 7 inches children have knowledge of the successor without in diameter. The experimenter then showed the child the demonstrating its uniqueness cannot fully explain how collection of chips and asked, “Can you tell me how many children acquire knowledge of natural numbers. chips are here?” The questions presented collections of size Additionally, the concept of successor is an ordinal 2, 3, 4, 5, 6, and 8 in a pseudo-random order. concept, yet is has been tested in the context of cardinality. Give-N task. This task consisted of six questions testing the The goal of the present study was to examine the numbers 2, 3, 4, 5, 6, and 8 in a pseudo-random order. The conditions under which young children demonstrate experimenter placed a collection of ten chips in front of the knowledge of the successor function. If children who child. The experimenter then gave the child the plastic plate understand the cardinality principle demonstrate knowledge and asked, “Can you give me N chips on this plate?” of a unique successor for cardinal numbers, then perhaps, as Cup task (Cardinal Test).
Recommended publications
  • Upper and Lower Bounds on Continuous-Time Computation
    Upper and lower bounds on continuous-time computation Manuel Lameiras Campagnolo1 and Cristopher Moore2,3,4 1 D.M./I.S.A., Universidade T´ecnica de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal [email protected] 2 Computer Science Department, University of New Mexico, Albuquerque NM 87131 [email protected] 3 Physics and Astronomy Department, University of New Mexico, Albuquerque NM 87131 4 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501 Abstract. We consider various extensions and modifications of Shannon’s General Purpose Analog Com- puter, which is a model of computation by differential equations in continuous time. We show that several classical computation classes have natural analog counterparts, including the primitive recursive functions, the elementary functions, the levels of the Grzegorczyk hierarchy, and the arithmetical and analytical hierarchies. Key words: Continuous-time computation, differential equations, recursion theory, dynamical systems, elementary func- tions, Grzegorczyk hierarchy, primitive recursive functions, computable functions, arithmetical and analytical hierarchies. 1 Introduction The theory of analog computation, where the internal states of a computer are continuous rather than discrete, has enjoyed a recent resurgence of interest. This stems partly from a wider program of exploring alternative approaches to computation, such as quantum and DNA computation; partly as an idealization of numerical algorithms where real numbers can be thought of as quantities in themselves, rather than as strings of digits; and partly from a desire to use the tools of computation theory to better classify the variety of continuous dynamical systems we see in the world (or at least in its classical idealization).
    [Show full text]
  • Hyperoperations and Nopt Structures
    Hyperoperations and Nopt Structures Alister Wilson Abstract (Beta version) The concept of formal power towers by analogy to formal power series is introduced. Bracketing patterns for combining hyperoperations are pictured. Nopt structures are introduced by reference to Nept structures. Briefly speaking, Nept structures are a notation that help picturing the seed(m)-Ackermann number sequence by reference to exponential function and multitudinous nestings thereof. A systematic structure is observed and described. Keywords: Large numbers, formal power towers, Nopt structures. 1 Contents i Acknowledgements 3 ii List of Figures and Tables 3 I Introduction 4 II Philosophical Considerations 5 III Bracketing patterns and hyperoperations 8 3.1 Some Examples 8 3.2 Top-down versus bottom-up 9 3.3 Bracketing patterns and binary operations 10 3.4 Bracketing patterns with exponentiation and tetration 12 3.5 Bracketing and 4 consecutive hyperoperations 15 3.6 A quick look at the start of the Grzegorczyk hierarchy 17 3.7 Reconsidering top-down and bottom-up 18 IV Nopt Structures 20 4.1 Introduction to Nept and Nopt structures 20 4.2 Defining Nopts from Nepts 21 4.3 Seed Values: “n” and “theta ) n” 24 4.4 A method for generating Nopt structures 25 4.5 Magnitude inequalities inside Nopt structures 32 V Applying Nopt Structures 33 5.1 The gi-sequence and g-subscript towers 33 5.2 Nopt structures and Conway chained arrows 35 VI Glossary 39 VII Further Reading and Weblinks 42 2 i Acknowledgements I’d like to express my gratitude to Wikipedia for supplying an enormous range of high quality mathematics articles.
    [Show full text]
  • On the Successor Function
    On the successor function Christiane Frougny LIAFA, Paris Joint work with Valérie Berthé, Michel Rigo and Jacques Sakarovitch Numeration Nancy 18-22 May 2015 Pierre Liardet Groupe d’Etude sur la Numération 1999 Peano The successor function is a primitive recursive function Succ such that Succ(n)= n + 1 for each natural number n. Peano axioms define the natural numbers beyond 0: 1 is defined to be Succ(0) Addition on natural numbers is defined recursively by: m + 0 = m m + Succ(n)= Succ(m)+ n Odometer The odometer indicates the distance traveled by a vehicule. Odometer The odometer indicates the distance traveled by a vehicule. Leonardo da Vinci 1519: odometer of Vitruvius Adding machine Machine arithmétique Pascal 1642 : Pascaline The first calculator to have a controlled carry mechanism which allowed for an effective propagation of multiple carries. French currency system used livres, sols and deniers with 20 sols to a livre and 12 deniers to a sol. Length was measured in toises, pieds, pouces and lignes with 6 pieds to a toise, 12 pouces to a pied and 12 lignes to a pouce. Computation in base 6, 10, 12 and 20. To reset the machine, set all the wheels to their maximum, and then add 1 to the rightmost wheel. In base 10, 999999 + 1 = 000000. Subtractions are performed like additions using 9’s complement arithmetic. Adding machine and adic transformation An adic transformation is a generalisation of the adding machine in the ring of p-adic integers to a more general Markov compactum. Vershik (1985 and later): adic transformation based on Bratteli diagrams: it acts as a successor map on a Markov compactum defined as a lexicographically ordered set of infinite paths in an infinite labeled graph whose transitions are provided by an infinite sequence of transition matrices.
    [Show full text]
  • THE PEANO AXIOMS 1. Introduction We Begin Our Exploration
    CHAPTER 1: THE PEANO AXIOMS MATH 378, CSUSM. SPRING 2015. 1. Introduction We begin our exploration of number systems with the most basic number system: the natural numbers N. Informally, natural numbers are just the or- dinary whole numbers 0; 1; 2;::: starting with 0 and continuing indefinitely.1 For a formal description, see the axiom system presented in the next section. Throughout your life you have acquired a substantial amount of knowl- edge about these numbers, but do you know the reasons behind your knowl- edge? Why is addition commutative? Why is multiplication associative? Why does the distributive law hold? Why is it that when you count a finite set you get the same answer regardless of the order in which you count the elements? In this and following chapters we will systematically prove basic facts about the natural numbers in an effort to answer these kinds of ques- tions. Sometimes we will encounter more than one answer, each yielding its own insights. You might see an informal explanation and then a for- mal explanation, or perhaps you will see more than one formal explanation. For instance, there will be a proof for the commutative law of addition in Chapter 1 using induction, and then a more insightful proof in Chapter 2 involving the counting of finite sets. We will use the axiomatic method where we start with a few axioms and build up the theory of the number systems by proving that each new result follows from earlier results. In the first few chapters of these notes there will be a strong temptation to use unproved facts about arithmetic and numbers that are so familiar to us that they are practically part of our mental DNA.
    [Show full text]
  • Peano Axioms for the Natural Numbers
    Notes by David Groisser, Copyright c 1993, revised version 2001 Peano Axioms for the Natural Numbers There are certain facts we tend to take for granted about the natural numbers N = 1, 2, 3,... To be sure we don’t take for granted something that is either false or unprovable,{ it’s} best to list as small as possible a set of basic assumptions (“axioms”), and derive all other properties from these assumptions. The axioms below for the natural numbers are called the Peano axioms. (The treatment I am using is adapted from the text Advanced Calculus by Avner Friedman.) Axioms: There exists a set N and an injective function s : N N satisfying the properties below. For n N, we will call s(n) the successor of n. → (I) There is an element∈ “1” that is not the successor of any element. (II) Let M N be any subset such that (a) 1 M, and (b) if n M, then s(n) M. Then M = N. ⊂ ∈ ∈ ∈ To make this less abstract, you should think of the successor function as “adding 1”. Axiom (I) essentially says that there is a “first” natural number. We can then define an element “2” by 2 = s(1), an element “3” by 3 = s(2), and so on. Axiom II is called the “axiom of induction” or “principle of induction”; when invoking it, we usually say that something is true “by induction”. You are probably familiar with it in the following equivalent form: (II)0 Let P ( ) be a statement that can be applied to any natural number n (for a specific n, we would· write the statement as P (n)), and has a true-false value for any n.
    [Show full text]
  • Ackermann Function 1 Ackermann Function
    Ackermann function 1 Ackermann function In computability theory, the Ackermann function, named after Wilhelm Ackermann, is one of the simplest and earliest-discovered examples of a total computable function that is not primitive recursive. All primitive recursive functions are total and computable, but the Ackermann function illustrates that not all total computable functions are primitive recursive. After Ackermann's publication[1] of his function (which had three nonnegative integer arguments), many authors modified it to suit various purposes, so that today "the Ackermann function" may refer to any of numerous variants of the original function. One common version, the two-argument Ackermann–Péter function, is defined as follows for nonnegative integers m and n: Its value grows rapidly, even for small inputs. For example A(4,2) is an integer of 19,729 decimal digits.[2] History In the late 1920s, the mathematicians Gabriel Sudan and Wilhelm Ackermann, students of David Hilbert, were studying the foundations of computation. Both Sudan and Ackermann are credited[3] with discovering total computable functions (termed simply "recursive" in some references) that are not primitive recursive. Sudan published the lesser-known Sudan function, then shortly afterwards and independently, in 1928, Ackermann published his function . Ackermann's three-argument function, , is defined such that for p = 0, 1, 2, it reproduces the basic operations of addition, multiplication, and exponentiation as and for p > 2 it extends these basic operations in a way
    [Show full text]
  • Peano Axioms to Present a Rigorous Introduction to the Natural Numbers Would Take Us Too Far Afield
    Peano Axioms To present a rigorous introduction to the natural numbers would take us too far afield. We will however, give a short introduction to one axiomatic approach that yields a system that is quite like the numbers that we use daily to count and pay bills. We will consider a set, N,tobecalledthenatural numbers, that has one primitive operation that of successor which is a function from N to N. We will think of this function as being given by Sx x 1(this will be our definition of addition by 1). We will only assume the following rules. 1.IfSx Sy then x y (we say that S is one to one). 2. There exists exactly one element, denoted 1,inN that is not of the form Sx for any x N. 3.IfX N is such that 1 X and furthermore, if x X then Sx X, then X N. These rules comprise the Peano Axioms for the natural numbers. Rule 3. is usually called the principle of mathematical induction As above, we write x 1 for Sx.We assert that the set of elements that are successors of successors consists of all elements of N except for 1 and S1 1 1. We will now prove this assertion. If z SSx then since 1 Su and S is one to one (rule 1.) z S1 and z 1.If z N 1,S1 then z Su by 2. and u 1 by 1. Thus u Sv by 2. Hence, z SSv. This small set of rules (axioms) allow for a very powerful system which seems to have all of the properties of our intuitive notion of natural numbers.
    [Show full text]
  • The Dedekind/Peano Axioms
    The Dedekind/Peano Axioms D. Joyce, Clark University January 2005 Richard Dedekind (1831–1916) published in 1888 a paper entitled Was sind und was sollen die Zahlen? variously translated as What are numbers and what should they be? or The Nature of Meaning of Numbers. In definition 71 of that work, he characterized the set of natural numbers N as a set whose elements are called numbers, with one particular number 1 called the base or initial number, equipped with a function, called here the successor function N → N mapping a number n to its successor n0, such that (1). 1 is not the successor of any number. (2). The successor function is a one-to-one function, that is, if n 6= m, then n0 6= m0. (3). If a subset S of N contains 1 and is closed under the successor function (i.e., n ∈ S implies n0 ∈ S, then that subset S is all of N. This characterization of N by Dedekind has become to be known as Dedekind/Peano axioms for the natural numbers. The principle of mathematical induction. The third axiom is recognizable as what is commonly called mathematical induction, a principle of proving theorems about natural numbers. In order to use mathematical induction to prove that some statement is true for all natural numbers n, you first prove the base case, that it’s true for n = 1. Next you prove the inductive step, and for that, you assume that it’s true for an arbitrary number n and prove, from that assumption, that it’s true for the next number n0.
    [Show full text]
  • Recursive Functions
    Recursive Functions Computability and Logic What we’re going to do • We’re going to define the class of recursive functions. • These are all functions from natural numbers to natural numbers. • We’ll show that all recursive functions are Abacus- computable* (and therefore also Turing-computable) • Later, we’ll also show that all functions (from natural numbers to natural numbers) that are Turing-computable* are recursive. • Hence, the class of recursive function will coincide with the set of all Turing-computable* functions (and therefore also with the set of all Abacus-computable* functions). Primitive Functions • z: the zero function – z(x) = 0 for all x • s: the successor function – s(x) = x + 1 for all x n • id m: the identity function n – id m(x1, …, xn) = xm for any x1, …, xn and 1≤m≤n • All primitive recursive functions are recursive functions Operations on Functions • On the next slides we’ll cover 3 operations on functions that generate functions from functions: – Composition – Primitive Recursion – Minimization • Performing any of these 3 operations on recursive functions generates a new recursive function. • In fact, the set of recursive functions is defined as the set of all and only those functions that can be obtained from the primitive functions, and the processes of composition, primitive recursion, and minimization. Composition • Given functions f(x1, …, xm), g1(x1, …, xn), …, gm(x1, …, xn), the composition function Cn[f, g1, …, gn] is defined as follows: – Cn[f, g1, …, gm](x1, …, xn) = f(g1(x1, …, xn), …, gm(x1, …, xn)) Examples Composition • Cn[s,z]: – For any x: Cn[s,z](x) = s(z(x)) = s(0) = 1 – So, where const1(x) = 1 for all x, we now know that const1 is a recursive function.
    [Show full text]
  • Turing Machines and Computability
    Turing Machines and Computability Charles E. Baker July 6, 2010 1 Introduction Turing machines were invented by Alan Turing in 1936, as an attempt to axioma- tize what it meant for a function to be \computable."1 It was a machine designed to be able to calculate any calculable function. Yet this paper also revealed startling information about the incomputability of some very basic functions.2 In this paper, we attempt to demonstrate the power and the limits of computability through this construct, the (deterministic) Turing machine. To set the scope of our paper, some definitions are in order. First, a Turing machine runs simple algorithms. Following S. B. Cooper, we say that an algorithm is \a finite set of rules, expressed in everyday language, for performing some general task. What is special about an algorithm is that its rules can be applied in potentially unlimited instances."3 Of course, using an algorithm to calculate on arbitrary input will eventually be too costly in time and space to carry out.4. Yet the point is that the Turing machines should be able to run algorithms in arbitrary time, at least those algorithms that are amenable to computation. Also, we insist that our algorithms can specifically be used to compute func- tions. This is particularly troublesome, however, as natural algorithms may not halt in finite time, which means that they cannot compute function values di- rectly.5 Also, even if an algorithm stops, it may not stop in a nice way: most 1[3], p. 1, 5, 42 2[3], p.
    [Show full text]
  • Sets, Relations, Functions
    Part I Sets, Relations, Functions 1 The material in this part is a reasonably complete introduction to basic naive set theory. Unless students can be assumed to have this background, it's probably advisable to start a course with a review of this material, at least the part on sets, functions, and relations. This should ensure that all students have the basic facility with mathematical notation required for any of the other logical sections. NB: This part does not cover induction directly. The presentation here would benefit from additional examples, espe- cially, \real life" examples of relations of interest to the audience. It is planned to expand this part to cover naive set theory more exten- sively. 2 sets-functions-relations rev: 41837d3 (2019-08-27) by OLP/ CC{BY Chapter 1 Sets 1.1 Basics sfr:set:bas: Sets are the most fundamental building blocks of mathematical objects. In fact, explanation sec almost every mathematical object can be seen as a set of some kind. In logic, as in other parts of mathematics, sets and set-theoretical talk is ubiquitous. So it will be important to discuss what sets are, and introduce the notations necessary to talk about sets and operations on sets in a standard way. Definition 1.1 (Set). A set is a collection of objects, considered independently of the way it is specified, of the order of the objects in the set, or of their multiplicity. The objects making up the set are called elements or members of the set. If a is an element of a set X, we write a 2 X (otherwise, a2 = X).
    [Show full text]
  • Comp 311 - Review 2 Instructor: Robert ”Corky” Cartwright [email protected] Review by Mathias Ricken [email protected]
    Comp 311 - Review 2 Instructor: Robert ”Corky” Cartwright [email protected] Review by Mathias Ricken [email protected] This review sheet provides a few examples and exercises. You do not need to hand them in and will not get points for your work. You are encouraged to do the exercises and work through the examples to make sure you understand the material. This material may be tested on the first exam. 1 Church Numerals Assume we have a programming language that doesn’t support numbers or booleans: a lambda is the only value it provides. It is an interesting question whether we can nonetheless create some system that allows us to count, add, multiply, and do all the other things we do with numbers. Church numerals use lambdas to create a representation of numbers. The idea is closely related to the functional representation of natural numbers, i.e. to have a natural number representing “zero” and a function “succ” that returns the successor of the natural number it was given. The choice of “zero” and “succ” is arbitrary, all that matters is that there is a zero and that there is a function that can provide the successor. Church numerals are an extension of this. All Church numerals are functions with two parameters: λf . λx . something The first parameter, f, is the successor function that should be used. The second parameter, x, is the value that represents zero. Therefore, the Church numeral for zero is: C0 = λf . λx . x Whenever it is applied, it returns the value representing zero.
    [Show full text]